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For Companies At a Glance
- Tasks: Lead AI & ML strategy, develop models, and automate processes in a dynamic FinTech environment.
- Company: Join a high-growth, VC-backed SaaS firm revolutionising regulatory compliance for financial institutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in the FinTech space with cutting-edge AI and ML technologies.
- Qualifications: Experience in ML model deployment, strong Python skills, and familiarity with financial data.
- Other info: Collaborative culture with a focus on ethical AI and data integrity.
The predicted salary is between 54000 - 84000 £ per year.
Miryco Consultants are working with a high-growth, VC-backed SaaS firm in the RegTech space that’s transforming regulatory reporting and compliance for the world’s largest financial institutions. Their platform automates the reconciliation, validation, and submission of complex derivative transaction data—powering greater accuracy, efficiency, and transparency across capital markets.
As they scale their data and analytics capabilities, the firm is seeking a forward-thinking, technically strong AI & ML Lead to spearhead machine learning strategy, model development, and intelligent automation initiatives across the platform.
This role is ideal for someone with a strong ML engineering background, excellent stakeholder engagement skills, and deep familiarity with financial services data, regulatory logic, or post-trade workflows.
Key Responsibilities:
- Own and evolve the firm’s AI/ML strategy, aligning use cases with product goals and FS client pain points.
- Lead the development of ML models for classification, anomaly detection, NLP, and predictive analytics using Python, scikit-learn, PyTorch, or similar tools.
- Collaborate with data engineering to build reliable, secure, and scalable data pipelines that support training, inference, and monitoring of ML models.
- Drive the operationalisation of ML workflows using modern MLOps tools and frameworks. Ensure reproducibility, versioning, and monitoring of models in production.
- Design solutions in the context of complex, structured financial data—such as trade reporting, EMIR/CFTC records, and regulatory schemas.
- Work closely with product and FS domain experts to translate ambiguous problems into well-scoped ML initiatives. Partner with engineers to embed models into the platform.
- Stay up to date with industry and academic trends in AI/ML, particularly those applicable to RegTech, financial data analysis, or document intelligence.
- Produce clear documentation and educate internal teams on the design, purpose, and behaviour of ML systems.
About You – Required Skills & Experience:
- Proven experience designing and deploying machine learning models in production environments.
- Strong knowledge of Python and common ML frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience with MLOps practices and tools (e.g., MLflow, SageMaker, Vertex AI, DVC).
- Familiarity with financial data models, structured datasets, and data validation.
- Understanding of regulatory reporting, trade lifecycle data, or capital markets workflows.
- Experience with cloud platforms such as AWS, GCP, or Azure and scalable data environments.
- Excellent communication skills and ability to present findings to technical and non-technical stakeholders.
Nice to Have:
- Experience in RegTech, capital markets, or post-trade analytics.
- Experience working in B2B SaaS.
- Knowledge of Snowflake, dbt, or related cloud data warehousing technologies.
- Background in anomaly detection, rule-based AI, NLP, or data reconciliation.
- Familiarity with regulatory regimes such as EMIR, SFTR, MiFID II, or CFTC.
- Hands-on experience with version-controlled notebooks, CI/CD for ML, or containerisation (Docker/Kubernetes)
Core Competencies:
- Strong problem-solver with a data-driven mindset.
- Practical and commercially aware in applying AI/ML to FS use cases.
- Independent thinker who thrives in ambiguity and fast-changing environments.
- Collaborative and supportive team player, eager to share insights.
- Committed to ethical AI, data integrity, and model explainability.
Location: London
Office Working: 4 days per week
Please note, our client is unable to offer sponsorship for this opportunity. Finally, should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity. We will however, be in touch should there be any other opportunities of potential interest that are suiting to your skills.
For similar roles, please reach out to Josh Hatton and Tom Parker, and follow Miryco Consultants – LinkedIn
AI & Machine Learning Lead - FinTech SaaS employer: Miryco Consultants Ltd
Contact Detail:
Miryco Consultants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Machine Learning Lead - FinTech SaaS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those relevant to FinTech. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI & Machine Learning Lead - FinTech SaaS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI & Machine Learning Lead role. Highlight your experience with ML models, Python, and any relevant financial services knowledge. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML in the FinTech space and how you can contribute to our mission. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any interesting ML projects, make sure to mention them! Whether it's anomaly detection or NLP, we love seeing real-world applications of your skills. Include links to your GitHub or portfolio if you have one.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Miryco Consultants Ltd
✨Know Your ML Tools Inside Out
Make sure you’re well-versed in Python and the ML frameworks mentioned in the job description, like scikit-learn and PyTorch. Be ready to discuss your past projects and how you’ve used these tools to solve real-world problems, especially in financial contexts.
✨Understand the Financial Landscape
Brush up on your knowledge of regulatory reporting and capital markets workflows. Being able to speak intelligently about how AI/ML can address specific pain points in these areas will set you apart from other candidates.
✨Showcase Your Collaboration Skills
This role requires working closely with product teams and stakeholders. Prepare examples of how you’ve successfully collaborated in the past, particularly in translating complex problems into actionable ML initiatives.
✨Stay Current with Industry Trends
Demonstrate your passion for AI/ML by discussing recent trends or innovations in the RegTech space. Showing that you’re proactive about learning and adapting will impress interviewers and highlight your commitment to the field.
